The medical field is prone to research misconduct, with serious cases exposed in China in recent years. In compliance with the guidelines from the Ministry of Education requiring higher education ...

The process of analyzing data also produces data in the form of results. In other words, project outcomes themselves are a data source for future research: aggregated summaries, descriptive statistics ...

Huskies in Michigan Tech's statistics bachelor's degree program don't just participate in impactful research, they take the ...

Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...

In the 21st century, artificial intelligence (AI) has emerged as a valuable approach in data science and a growing influence in medical research, 4-6 with an accelerating pace of innovation. This ...

When you use the statistical analysis features in Excel, you are leveraging one of the most powerful tools available for data manipulation and interpretation. Excel is not just a spreadsheet ...

In the early 1920s, a trio of scientists sat down for a break at Rothamsted agricultural research station in Hertfordshire, UK. One of them, a statistician by the name of Ronald Fisher, poured a cup ...

Across modern data-intensive disciplines, the union of numerical computation, statistics, and machine learning has become ...

Meta-analysis is an objective examination of published data from many studies of the same research topic identified through a literature search. Through the use of rigorous statistical methods, it can ...

The University of Michigan’s Consulting for Statistics, Computing and Analytics Research, established in 1946, provides free software support and consulting on data analysis for all University ...

Purdue’s innovative Master of Science in Data Science (MSDS) is an accessible, skills-focused master’s designed to meet the needs of professionals who have some background in data science and want to ...

The acquisition of actionable, meaningful insights from multiplex immunoassays requires a robust, accurate pipeline for data analysis and interpretation. This is also key to gaining, identifying, and ...